package com.atguigu.flink.keyStateAndOpeState;

import com.atguigu.flink.bean.WaterSensor;
import com.atguigu.flink.function.WaterSensorMapFunction;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.datastream.KeyedStream;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.KeyedProcessFunction;
import org.apache.flink.util.Collector;

import java.util.HashMap;
import java.util.Map;

public class OperatorValueState1 {
    public static void main(String[] args) throws Exception {
        // TODO 1.环境准备
        // 1.1指定流处理环境
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        // 1.2设置并行度
        env.setParallelism(1);
        // TODO 2.从指定的网络端口读取数据
        DataStreamSource<String> socketDS = env.socketTextStream("hadoop102", 8888);
        // TODO 3.对数据进行类型转换 String -> Watersensor
        SingleOutputStreamOperator<WaterSensor> wsDS = socketDS.map(new WaterSensorMapFunction());
        // TODO 4.按照传感器id进行分组
        KeyedStream<WaterSensor, String> keyByDS = wsDS.keyBy(WaterSensor::getId);
        // TODO 5.对分组后的数据进行处理 判断连续的两个水位值是否超过10 如果超过10，输出报警
        SingleOutputStreamOperator<String> processDS = keyByDS.process(
                new KeyedProcessFunction<String, WaterSensor, String>() {

                    Map<String , Integer> lastVcMap = new HashMap<>();
                    @Override
                    public void processElement(WaterSensor ws, KeyedProcessFunction<String, WaterSensor, String>.Context ctx, Collector<String> out) throws Exception {
                        String id = ws.getId();
                        Integer lastVc = lastVcMap.get(id) == null ? 0 : lastVcMap.get(id);
                        if (Math.abs(lastVc - ws.getVc()) > 10) {
                            out.collect("传感器" + id + "当前水位值" + ws.getVc() + "和上一次水位值" + lastVc + "的差超过10");
                        }
                        lastVcMap.put(id , ws.getVc());
                    }

                }
        );
        // TODO 6.打印输出
        processDS.print();
        // TODO 7.提交作业
        env.execute();
    }
}
